{"id":"W4376506149","doi":"10.18356/9789210027090c002","title":"Executive Summary","year":2023,"lang":"en","type":"book-chapter","venue":"United Nations eBooks","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Development economics; Toll; Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Recession; Economic growth; Distribution (mathematics); Developing country; Political science; Geography; Economics; Medicine; Disease; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004901715,0.000408834,0.000593896,0.003530362,0.0003948789,0.00002179075,0.000317625,0.0005159016,0.0001340015],"category_scores_gemma":[0.005853743,0.0003576556,0.0002643079,0.0002974376,0.0002451139,0.000018844,0.0003709531,0.0006576248,0.0003981849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002026439,"about_ca_system_score_gemma":0.00007756067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000539608,"about_ca_topic_score_gemma":0.0002867081,"domain_scores_codex":[0.9982367,0.00006903675,0.0006023602,0.0004443606,0.0003540576,0.0002935261],"domain_scores_gemma":[0.9883291,0.01036252,0.0003353262,0.0004947794,0.0003862358,0.00009211018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005022266,0.000008360878,0.000002186088,0.0000568646,0.0001967462,0.00002364925,0.0001520469,0.000002295632,0.000002146786,0.8331257,0.1659382,0.0004867089],"study_design_scores_gemma":[0.00009355466,0.00002089946,0.000003219594,0.0001655129,0.00009251367,0.000001035561,0.00002001726,0.00001859069,0.000004833648,0.4893955,0.5099776,0.0002067715],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000005582806,0.00006398511,0.000415276,0.0007319386,0.0001849831,0.0006097653,0.0003150914,0.0008579566,0.9968154],"genre_scores_gemma":[0.00005674557,0.0002479,0.001503797,0.0007925463,0.0001897795,0.00008369696,0.0002102656,0.0001096073,0.9968057],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3440393,"threshold_uncertainty_score":0.9998875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3243977075343878,"score_gpt":0.4016714903138118,"score_spread":0.07727378277942393,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}